Optimizing thermal load and power scaling in Er3+-doped ZBLAN fiber lasers

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dc.contributor.authorGursel, Amira Tandirovic
dc.contributor.authorKılıç, Fatih
dc.date.accessioned2025-01-06T17:37:51Z
dc.date.available2025-01-06T17:37:51Z
dc.date.issued2021
dc.description.abstractThanks to characteristics such as high beam qualities and high average powers, largely founded on the outstanding characteristics of fibers as an active medium, fiber lasers have become one of the most popular laser technologies. Although most of the advantages of fiber lasers stem from their geometry, the same geometry is the main source of the limitations. In this study, we focused on managing the thermal load by variable absorption coefficient in order to increase the thermal limits, which are an important limitation of further development in fiber technology. Metaheuristic optimization approaches can be used to improve the performance of fiber technologies with physical constraints. The main aim of metaheuristic optimization is to improve the output of the function with respect to the parameters considered as significant. Swarm Optimization approach is one of the powerful metaheuristic approaches proven to be quite promising to address the above issues. In this study, the optimization of the thermal management of the Er3+-doped ZBLAN fiber laser is performed using Artificial Bee Colony Algorithm (ABC). Additionally, this paper proposes four new strategies of initial parameter setting, repair parameter values, and fitness function for the thermal load of the Er3+-doped ZBLAN fiber laser with respect to the output power. The results show that the absorption coefficient functions obtained by ABC algorithm give more effective and efficient results than the obtained rising functions.
dc.identifier.doi10.1016/j.yofte.2021.102507
dc.identifier.issn1068-5200
dc.identifier.issn1095-9912
dc.identifier.scopus2-s2.0-85103695198
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.yofte.2021.102507
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2396
dc.identifier.volume64
dc.identifier.wosWOS:000660470600012
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofOptical Fiber Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectFiber lasers
dc.subjectThermal management
dc.subjectPower scaling
dc.subjectArtificial bee colony algorithm
dc.subjectNumerical function optimization
dc.titleOptimizing thermal load and power scaling in Er3+-doped ZBLAN fiber lasers
dc.typeArticle

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